Data 360 - Lead Forward Deployed Engineer, Italian Speaking
Pubblicato il 02-10-2026 - Salesforce in Varese
Overview
As a Forward Deployed Engineer, you will implement Salesforce Data 360 inside enterprise environments, turning designs into production data solutions. You work within a delivery team to build ingestion, harmonization, identity, and activation layers, plus AI data integration for Agentforce. You’ll write code in SQL, Apex, Python, and more to deliver real-time, scalable data platforms. This role blends hands-on data engineering with customer-facing delivery, applying secure, tested solutions at scale. You’ll collaborate across architecture, customers, and partners to drive impactful data-driven outcomes.
Retribuzione / Benefits incentive component tailored by grade level
accommodations request process
AI-assisted recruitment transparency
Responsabilità Configure and develop in customer sandboxes and production environments using Data 360, SQL, Apex, Flow, Python, REST Query API, Interaction SDK, Salesforce DX, CLI, Git, and deployment tooling
Engineer the data layer across ingestion, harmonization, and identity resolution for batch and streaming sources
Validate implementations with representative test data and check happy paths, edge cases, and scale
Design and implement AI data integration layer (RAG, vector databases, search indexes, knowledge bases) to ground Agentforce solutions
Define protocols for agent collaboration (MCP, agent-to-agent communication) and secure, scalable data integration with enterprise apps
Govern data security, transformation, and governance across Salesforce ecosystem and external systems
Build secure, scalable workflows using messaging queues and event-driven architectures with OAuth/SAML
Diagnose issues with logs, tests, and data traces; document reproducible results
Lead decisions on architecture tradeoffs and hand off to architects or security owners
Accelerate with AI tooling to automate build processes and reduce time-to-value
Collaborate with customers and partners through reviews, paired programming, and handoffs
Surface